As shown in Table REF , 67.21% of the remaining type error cases are due to prior problem which are hard to solve in the current feature combination framework. We argue that prior should be considered as the final resort, only relying on it when the model can not make decision based on other features. Besides, there are 22.95% remaining type errors which are due to global modeling problem which shows the limitation of the global modeling method of [1]} ganea2017deep. Finally, 9.84% type error cases are due to local context problem that our BERT-based solution cannot address. We leave this to future work.
